Divergence Color Histogram for Content-Based Image Retrieval

Article Preview

Abstract:

Combined With the color and spatial partitions of image, this paper puts forward divergence to describe the dispersion information of pixels in each annular subset, and all those divergences of annular subsets constitute the divergence color histogram. It is invariant with translation and rotation, and suitable as a basic feature of image. Finally, simulation results show the improvement of the divergence color histogram over the spatial color histogram are: 16% (annular), 27% (angular)and 26% (hybrid), so the divergence color histogram has a significant better retrieval performance.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

639-643

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A.B. Rao, R. K, Srihari: 11th IEEE International Conference on Tools with AI (1999), p.183.

Google Scholar

[2] S.A. Lim, G.J. Lu: Information Technology: Computers and Communications (2003), p.28.

Google Scholar

[3] G. Pass and R. Zabih: IEEE Workshop on Applications of Computer Vision (1996), p.96.

Google Scholar

[4] X.J. Zhang, J.G. Sun and Z.Y. Zhang: submitted to Journal of Ningbo University (2007).

Google Scholar

[5] M. J. Swain and D. H. Ballard: submitted to International Journal of Computer Vision (1991).

Google Scholar